Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

Prefer

The execution layer for AEO

AEO should not be another dashboard. Prefer works at the execution layer, helping brands understand how ChatGPT, Claude, Gemini and Perplexity talk about them, identify where they are missing, and take action to improve their visibility. Turn AI search insights into action with autonomous agents. Less reporting. More doing.

Top comment

We built Prefer because we realized brands have two users now. There is the human who buys, and the model that recommends. For 25 years, we learned how to market to the first one. Now ChatGPT, Gemini, Perplexity and other AI engines are making decisions before a buyer ever reaches your website. We went looking for a tool that could show us what these models were saying about a brand and then actually help change it. It did not exist. So we built Prefer. The idea is simple: measuring the gap is the easy half. Closing it is the product. Prefer does not just tell you where you are missing. It helps do the on-page, content and off-page work needed to win the citation. Less dashboards. More action. We are early, bootstrapped, and building this with our users. Would love to hear what you think.

About Prefer on Product Hunt

“The execution layer for AEO”

Prefer launched on Product Hunt on October 3rd, 2026 and earned 201 upvotes and 14 comments, earning #3 Product of the Day. AEO should not be another dashboard. Prefer works at the execution layer, helping brands understand how ChatGPT, Claude, Gemini and Perplexity talk about them, identify where they are missing, and take action to improve their visibility. Turn AI search insights into action with autonomous agents. Less reporting. More doing.

On the analytics side, Prefer competes within Marketing, SEO and Search — topics that collectively have 525.7k followers on Product Hunt. The dashboard above tracks how Prefer performed against the three products that launched closest to it on the same day.

Who hunted Prefer?

Prefer was hunted by Javed Khatri. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Prefer including community comment highlights and product details, visit the product overview.